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When we see things happening together, it's not always enough to understand why. To truly understand, we need to ask what causes what.
Sometimes, things can seem related when they actually aren't. Just because two things are happening at the same time, doesn't mean one causes the other—it could just be a coincidence! Remember to always ask "why" and look for the real cause.
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Our brains are wired to constantly ask "What if?" and "Why?", which takes us beyond just raw data and into our imaginations, explanations, and actions.
Through our constant curiosity, we can understand the reasons behind things, and even attempt to change or influence them.
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Pearl developed a ladder with 3 steps:
Seeing - finding connections between events
Doing - taking action to affect outcomes
Imagining - exploring alternative scenarios
To be truly intelligent, one must climb this ladder. 🧠
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Statistics reveal "what is," but that isn't always enough. Understanding "what could be" and "what would have happened" requires causal reasoning.
Using causal reasoning, we can explore the potential outcomes and consequences of different scenarios, providing a more complete understanding of a situation.
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Visual models like Directed Acyclic Graphs (DAGs) can help us understand links between factors and minimize biases, such as confounding variables.
They show us how one event or exposure leads to another and happen before it.
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To understand the effects of taking action, it's important to distinguish between observation and intervention. This process, known as causal inference, is more than just analyzing data.
Key concepts:
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Asking "What if I had done X instead of Y?" helps us learn, plan, and assign responsibility.
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Judea Pearl asserts that simply gathering data is not enough to grasp causality. Instead, we need to create causal models that incorporate assumptions and establish relationships between variables.
Through causal modeling, we can identify key insights and patterns to better understand cause and effect. This allows us to answer questions such as "When A happens, what can we expect for B?" and make informed decisions based on data-driven evidence.
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Don't be fooled by data! 📊🚫 Just because something happened, doesn't mean it caused it. Use reasoning to understand beyond what is seen.
- Data can't predict with certainty what would have happened 🤔
- Keep asking why something happened, until you understand the underlying causes 🔍
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To fully comprehend the world, solve issues, or make choices, we need to concentrate on "why" things occur, not just on data. Understanding "why" gives us the insight to make better decisions.
Why should we focus on "why"?
🤔🔍🚀
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IDEAS CURATED BY
Wealth Building. Business. Investing. Crypto and Technology. Entrepreneurship. Reading, Learning and Writing.
CURATOR'S NOTE
"The Book of Why" explores how humans think about cause and effect. Judea Pearl revolutionizes science with causal reasoning, explaining how we can go beyond data correlation to ask deeper “why” questions—and build machines that truly understand.
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